Installation

scMultiNet: A deep adversarial network model for multi-task analysis of single-cell omics data.
🔗 GitHub: Biowust/scMultiNet

Environment Requirements

  • Python: 3.8.x

  • PyTorch: GPU version recommended

  • Tested Platform: NVIDIA RTX 2080 Ti with CUDA 11.1

We recommend creating a dedicated conda environment for installation.

Create Conda Environment

conda create -n scMultiNet python=3.8
conda activate scMultiNet

Install Dependencies

After activating the environment, install the following dependencies via pip:

  • python==3.8.10

  • h5py==3.9.0

  • torch==1.9.0+cu111

  • anndata==0.9.2

  • scanpy==1.9.3

  • scikit-learn==0.22.2

Quick Start

  1. Prepare Input Data

    • Format: .h5

    • See the data/ folder README for details.

  2. Run scMultiNet

    • You can either follow the tutorial document step by step,
      or run directly with the following command:

python train.py --dataset=BMNC